摘要
基于倒向随机微分方程(BSDE)和非线性期望理论中惩罚方法的启发,研究并得到了一般时间区间上L~p-半狹序列的单调极限定理.该结果的证明并非经典结果的平凡推广,新的框架让我们面对许多新问题,它将在一般框架下g-上鞅的Doob-Meyer型分解以及受限BSDE解的存在性等问题的探索中发挥重要作用.
In this paper, a new version of monotonic limit theorem is established for a sequence of L~p-semimartingales on general time interval, motivated by the penalization method in the theories of backward stochastic differential equations(BSDEs for short) and nonlinear expectations. It is just the general framework that makes us have to tackle many new problems. And also this non-trivial result plays a key role in exploring the more general form of nonlinear Doob-Meyer Decomposition of g-supermartingale and the existence of solutions to BSDEs with constraints.
引文
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